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my-awesome-address-tokenizer-model-v4 – AI Model by bhattronak | AlphaNeural AI
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my-awesome-address-tokenizer-model-v4
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transformers
tf
safetensors
distilbert
token-classification
generated_from_keras_callback
autotrain_compatible
endpoints_compatible
us
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bhattronak/my-awesome-address-tokenizer-model-v4
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
Train Loss: 0.4098
Validation Loss: 0.4612
Train Precision: 0.8144
Train Recall: 0.8553
Train F1: 0.8343
Train Accuracy: 0.8366
Epoch: 1
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4794, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
training_precision: float32
Training results
Train Loss
Validation Loss
Train Precision
Train Recall
Train F1
Train Accuracy
Epoch
0.4542
0.4659
0.8060
0.8585
0.8314
0.8348
0
0.4098
0.4612
0.8144
0.8553
0.8343
0.8366
1
Framework versions
Transformers 4.35.0
TensorFlow 2.14.0
Datasets 2.14.6
Tokenizers 0.14.1
